Robust Image Segmentation Algorithm Based On Rough Sets and Fuzzy C-Means

摘要：

Image segmentation with the traditional FCM algorithm only uses each pixels gray va!ue,When the image is corrupted by noises,the accuracy of segmentation will be greatly reduced. So, this paper proposed an image segmentation method which based on rough sets theory and fuzzy c-mean clustering.The test result shows that the method has a good segmentation performance.

关键词： rough sets fuzzy c-means image segmentation cluster

作者: Zhang Chao-quan Liu Jian-Sheng Zou Wei-Gang

作者单位: Faculty of Science Jiangxi University of Science and Technology Jiangxi, Ganzhou, 341000,China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 481-484

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）